mlm_soft_finetune_bert_full

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0013
• Epoch: 9

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Epoch
0.0030	0
0.0020	1
0.0018	2
0.0016	3
0.0016	4
0.0015	5
0.0014	6
0.0014	7
0.0013	8
0.0013	9

Framework versions

• Transformers 4.37.2
• TensorFlow 2.15.0
• Tokenizers 0.15.2